python
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Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
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3d Hand Interaction in Virtual Space
Abstract: In the realm of augmented reality (AR) and virtual reality (VR), it is necessary to facilitate users' interplay with the digital world. In virtual environments, the system will be able to track the user's hand movements in three dimensions, providing the impression that they are essentially there. The system will adopt a camera component for input, a Python library called Open-CV for real-time video streaming, and a media-pipe library to …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 13–19 Read article
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Attendance System Based on Facial Recognition
Abstract: Attendance management is a fundamental aspect of educational institutions and workplaces, ensuring accountability, discipline, and operational efficiency. Traditional methods, such as manual roll calls, RFID cards, and fingerprint scanners, are often time-consuming, error-prone, and susceptible to fraud. This research presents an automated attendance management system utilizing face recognition technology to address these challenges effectively. The proposed system employs OpenCV for real-time image processing, the face recognition library for accurate facial …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article
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Python's Applications in the Profession of Data Science
Abstract: Because of its ease of use, adaptability, and huge ecosystem of libraries, Python has become one of the most influential programming languages in the field of data science. Python is highly valued for its straightforward and versatile nature. This study delves into its various uses in data science, including tasks like data preprocessing, exploratory data analysis (EDA), statistical modeling, machine learning, and creating visualizations. Libraries like Pandas and NumPy make …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 23–30 Read article
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Presento AI: Your Personal Slide Assistant
Abstract: An AI based Auto Slide Generator offers significant time and effort savings. Current tools like Microsoft PowerPoint and OpenOffice aid researchers by providing slide outlines and themes, but they fall short in assisting with slide content selection. An academic presentation functions as an advertisement for a paper rather than an exhaustive information dump. In PowerPoint presentations, it's acceptable to include images that encapsulate your research's objectives. Visuals serve as highly …
Published in International Journal of Electronics Automation · Vol. 2, Issue 2, 2024 · pp. 14–19 Read article
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API Development for Cloud Parameter Curation
Abstract: API development for cloud parameter curation is pivotal in managing and optimizing various parameters within cloud environments. This project aims to develop a set of APIs that facilitate the efficient configuration, monitoring, and management of cloud parameters such as network settings, security policies, and resource allocation. Leveraging PHP for development and GoDaddy servers for hosting, the APIs provide a scalable and accessible solution for controlling cloud parameters remotely. Security measures, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Driver Drowsiness Alert System
Abstract: In the present era, the increasing frequency of accidents during prolonged road trips, primarily attributed to driver fatigue, is a matter of serious concern. Recognizing this challenge, our goal is to develop a driver drowsiness alert system to effectively address and alleviate these incidents. Theproposed system utilizes a webcam to capture real-time images of the driver's eyes, employingmachine learning algorithms to promptly identify signs of fatigue. Upon detecting drowsiness, the …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article